Gautam Pant

Professor of Business Administration

Contact

4037 Business Instructional Facility

515 Gregory Dr

Champaign, IL 61820

Professor, Business Administration, University of Illinois at Urbana-Champaign, 2022 to present
Professor, University of Iowa, 2021-2022
Associate Professor, University of Iowa, 2013-2021

Namdar, J., Pant, G., & Blackhurst, J. Forthcoming. Impact of Industrial and Geographical Concentrations of Upstream Industries on Firm Performance during COVID-19. Production and Operations Management.
Yoon, J., Pant, G., & Pant, S. (2024). Discovery of Technological Innovation Systems: Implications for Predicting Future Innovation Journal of Management Information Systems, 41 (1), 39-72.
Abbasi, A., Parsons, J., Pant, G., Sheng, O., & Sarker, S. (2024). Pathways for Design Research on Artificial Intelligence. Information Systems Research.
Yu, W., Ma, Z., Pant, G., & Hu, J. (2021). The effect of virtual tours on house price and time on market. Journal of Real Estate Literature, 28 (2), 133-149.

Liu, Y., Pant, G., & Sheng, O. (2020). Predicting labor market competition: Leveraging interfirm network and employee skills. Information Systems Research, 31 (4), 1443-1466.
Ketter, W., Padmanabhan, B., Pant, G., & Raghu, T. (2020). Addressing societal challenges through analytics: An ESG ice framework and research agenda. Journal of the Association for Information Systems, 21 (5), 1115-1127.
Kim, I., & Pant, G. (2019). Predicting web site audience demographics using content and design cues. Information and Management, 56 (5), 718-730.
Pant, G., & Pant, S. (2018). Visibility of Corporate Web Sites: The Role of Information Prosociality Decision Support Systems.
Pant, G., & Sheng, O. (2015). Web Footprints of Firms: Using Online Isomorphism for Competitor Identification. Information Systems Research, 26 (1), 188-209.
Pant, G., & Srinivasan, P. (2013). Status Locality on the Web: Implications for Building Focused Collections. Information Systems Research, 24 (3).
Pant, G., & Srinivasan, P. (2010). Predicting Web Page Status. Information Systems Research, 21 (2), 345-364.

Yoon, J., Pant, G., & Pant, S. (2022). Discovery of Technological Innovation Systems: Implications for Predicting Future Innovation. INFORMS Workshop on Data Science.
Yoon, J., Pant, G., & Pant, S. (2021). Predicting Innovation Through Topical Structure Discovery. Workshop on Information Technology and Systems 2021.
Liu, Y., Pant, G., & Pant, S. (2021). Digital Prophylaxis for Firm Resilience: A Study On COVID-19 Disruption. Conference on Information Systems and Technology.
Pant, G., Liu, Y., & Sheng, O. (2020). Predicting Employee Turnover through Network Embeddedness. Workshop on Information Technology and Systems (WITS.
Ramaraju, N., Pant, G., & Pant, S. (2020). What's Good for the Goose is Good for the Gander: Gender Diversity of Inventors and Firm Innovation. Workshop on Information Systems and Economics (WISE.
Ding, Y., Zhou, X., & Pant, G. (2019). Deep Learning with Interaction Terms: An Experimental Exploration INFORMS Workshop on Data Science.

Best Student Paper Award, INFORMS Workshop on Data Science, 2022-2022
Best Paper Award Runner-up, 30th Workshop on Information Technology and Systems (WITS), 2020-2020

Senior Editor, Information Systems Research, 2022 to present
Review Editor, Journal of the Association for Information Science and Technology (JASIST), 2017 to present
Co-Chair, 33rd Annual Workshop on Information Technologies and Systems (WITS’23), 2023-2023
Associate Editor, Service Science (INFORMS), 2020-2023
Co-Chair, INFORMS Workshop on Data Science, 2021-2021
Guest Co-Editor, Journal of the Association of Information Systems (JAIS) - Special Issue, 2017-2020

Data Science and Analytics (BADM 356) In this course, you will learn not only data analytic techniques but also the managerial implications of competing with analytics. You will understand the managerial challenges of using data analytics to develop a strategic advantage through readings and case studies. You will learn techniques such as statistical inference, linear modeling, sentiment analytics, and data mining through hands-on exercises in R. R is an open source language that has grown in importance and usage in corporations. Finally, you will be able to present and interpret data through an understanding of data visualization techniques.
Machine Learning in Bus Res (BADM 590) Special topics in the general area of business. Topics are selected by the instructor at the beginning of each term.

4037 Business Instructional Facility

515 Gregory Dr

Champaign, IL 61820